Data Architect

Responsibilities :

About Lexmark:

Founded in 1991 and headquartered in Lexington, Kentucky, Lexmark is recognized as a global leader in print hardware, service, software solutions and security by many of the technology industry’s leading market analyst firms. Lexmark creates cloud-enabled imaging and IoT solutions that help customers in more than 170 countries worldwide quickly realize business outcomes. Lexmark’s digital transformation objectives accelerate business transformation, turning information into insights, data into decisions, and analytics into action. Lexmark India, located in Kolkata, is one of the research and development centers of Lexmark International Inc.

The India team works on cutting edge technologies & domains like cloud, AI/ML, Data science, IoT, Cyber security on creating innovative solutions for our customers and helping them minimize the cost and IT burden in providing a secure, reliable, and productive print and imaging environment.  At our core, we are a technology company – deeply committed to building our own R&D capabilities, leveraging emerging technologies and partnerships to bring together a library of intellectual property that can add value to our customer's business. Caring for our communities and creating growth opportunities by investing in talent are woven into our culture. It’s how we care, grow, and win together.

Job Description/Responsibilities:

We are looking for a highly skilled and strategic Data Architect with deep expertise in the Azure Data ecosystem. This role requires a strong command over Azure Databricks, Azure Data Lake, Azure Data Factory, data warehouse design, SQL optimization, and AI/ML integration. The Data Architect will design and oversee robust, scalable, and secure data architectures to support advanced analytics and machine learning workloads.

Qualification: BE/ME/MCA with 10+ Years in IT Experience.

Must Have Skills/Skill Requirement:

• Define and drive the overall Azure-based data architecture strategy aligned with enterprise goals.
• Architect and implement scalable data pipelines, data lakes, and data warehouses using Azure Data Lake, ADF, and Azure SQL/Synapse.
• Provide technical leadership on Azure Databricks (Spark, Delta Lake, Notebooks, MLflow etc.) for large-scale data processing and advanced analytics use cases.
• Integrate AI/ML models into data pipelines and support end-to-end ML lifecycle (training, deployment, monitoring).
• Collaborate with cross-functional teams including data scientists, DevOps engineers, and business analysts.
• Evaluate and recommend tools, platforms, and design patterns for data and ML infrastructure.
• Mentor data engineers and junior architects on best practices and architectural standards.
• Strong experience with data modeling, ETL/ELT frameworks, and data warehousing concepts.
• Proficient in SQL, Python, PySpark.
• Solid understanding of AI/ML workflows and tools.
• Exposure on Azure DevOps.
• Excellent communication and stakeholder management skills.

How to Apply ?

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